Single Camera Barrier Detection via Image Motion Analysis
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Solution Overview
Problem
Existing driver assistance systems struggle to accurately detect structural barriers like guardrails or lane dividers using a single camera, especially in low light conditions and when the barriers have low contrast with the road, without relying on additional sensors.
Innovation Solution
A method and system that utilize a single camera to capture multiple image frames, process image motion, and hypothesize linear image structures as projections onto the road surface to compute lateral distances to structural barriers, aligning image patches with vertical or road surface models to verify the presence and position of barriers, thereby eliminating the need for additional sensors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single camera is used to detect structural barriers, then device complexity is reduced, but detection reliability deteriorates in low light conditions and when barriers have low contrast with the road
Solution Approach 1:
The system dynamically switches between different detection modes (monochrome for low light, RGB for normal light) based on real-time lighting conditions, allowing the single camera to adapt its sensitivity characteristics to maintain reliable barrier detection across varying environmental conditions
Solution Approach 2:
The camera sensor dynamically changes its operational parameters by switching between monochrome and RGB modes, altering its spectral sensitivity to match environmental lighting conditions, thereby maintaining detection reliability without adding additional sensors
2Device complexity
If a single camera is used to detect structural barriers, then cost is reduced, but measurement precision deteriorates for lateral distance computation
Solution Approach 1:
The system computes lateral distance by combining measurements from multiple dimensions: vertical image coordinates provide forward distance information while horizontal image coordinates provide lateral position information, allowing accurate lateral distance computation from a single camera through multi-dimensional coordinate analysis
3Reliability
If additional sensors are used to detect structural barriers, then detection reliability is improved, but device complexity increases
Solution Approach 1:
The single camera is designed to perform multiple functions: detecting lane markers for lane departure warning, detecting vehicles for forward collision warning, and detecting structural barriers, thereby eliminating the need for additional dedicated sensors while maintaining reliable detection across all functions
Solution Approach 2:
The camera system processes its own image data to extract multiple types of information (lane markers, vehicles, barriers) through different analysis algorithms, making the single sensor self-sufficient for multiple detection tasks without requiring additional specialized sensors
Data Source
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AI summary
Driver assistance systems for detecting a structural barrier extending along a road. The driver assistance system may be mountable in a host vehicle. The camera may capture multiple image frames in the forward field of view of the camera. A processor may process motion of images of the barrier in the image frames. The camera may be a single camera. The motion of the images may be responsive to forward motion of the host vehicle and/or the motion of the images may be responsive to lateral motion of the host vehicle.